wavefront-collector-for-kubernetes

README

Wavefront Collector for Kubernetes

Wavefront is a high-performance streaming analytics platform for monitoring and optimizing your environment and applications.

The Wavefront Collector for Kubernetes is an agent that runs as a DaemonSet on each node within a Kubernetes cluster. It collects metrics and events about the cluster and sends them to the Wavefront SaaS service.

Features

• Collects real-time data from all layers of a Kubernetes environment
• Multiple sources of metrics providing comprehensive insight:
  • Kubernetes (kubelet) source: For core kubernetes metrics
  • Prometheus source: For scraping prometheus metric endpoints (API server, etcd, NGINX etc)
  • Kubernetes state source: For resource state metrics
  • Telegraf source: For host and application level metrics
  • Systemd source: For host level systemd metrics
• Auto discovery of pods and services based on annotation and configuration
• Daemonset mode for high scalability with leader election for monitoring cluster level resources
• Rich filtering support
• Auto reload of configuration changes
• Internal metrics for tracking the collector health and configuration

Installation

Refer to the installation instructions.

Configuration

The installation instructions use a default configuration suitable for most use cases. Refer to the documentation for details on all the configuration options.

Building

The project currently uses dep to manage dependencies. Run dep ensure to pull down the necessary external libraries.

Build using make and the provided Makefile.

Commonly used make options include:

• fmt to go fmt all your code
• tests to run all the unit tests
• build that creates a local executable
• container that uses a docker container to build for consistency and reproducability

Contributing

Public contributions are always welcome. Please feel free to report issues or submit pull requests.